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Fintech/Financial Services

Revolut (Fintech)

AI-Powered Financial Analytics & Automated Insight Generation

8 weeks
40 hrs/week saved
£4M growth pathway identified

Financial Analytics Dashboard

The Challenge

A fintech company needed to analyze 200,000+ transaction records across 90 days to identify profitability drivers and develop a £4M growth strategy. Manual data analysis, initiative tracking, and executive reporting was consuming excessive analyst time and creating delays in strategic decision-making. The leadership team required real-time visibility into gross profit performance across 17 recent initiatives, 62 countries, and multiple user segments.

The Solution

We built an AI-powered financial analytics automation system that processes massive transaction datasets, automatically identifies profitability patterns, quantifies initiative impacts, and generates executive-ready insights. The system includes intelligent data cleaning, automated pre/post analysis, dynamic PowerBI dashboards with real-time filtering, and automated report generation—eliminating weeks of manual analysis work.

Intelligent Data Processing

AI-powered data cleaning and validation across 200K+ transactions with automated anomaly detection, missing value handling, and cross-dimensional analysis across geography, user segments, and product categories.

Automated Initiative Analysis

Smart pre/post comparison engine that automatically quantifies the financial impact of 17 business initiatives, identifies GP drivers and detractors, and calculates ROI without manual intervention.

Dynamic Executive Dashboards

Real-time PowerBI dashboards with intelligent filtering across date ranges, countries, user types, and plans. Automated insights generation with color-coded performance indicators and trend analysis.

Results & Impact

90%

Analysis time reduced

through automation

40 hrs

Per week saved

on manual reporting

£4M

Growth pathway

identified and quantified

How It Works

1

Automated Data Pipeline

Python-powered data ingestion processes 200K+ transactions, automatically cleaning, structuring, and validating data across 17 columns with intelligent type detection and error handling.

2

AI-Driven Pattern Recognition

Machine learning algorithms identify profitability trends, detect anomalies (like the -£3.3M "Other" cost category), and automatically segment performance by geography, user type, and product with zero manual intervention.

3

Intelligent Report Generation

Automated executive report creation with AI-generated insights, strategic recommendations, and dynamic visualizations. System automatically identifies top performers, cost optimization opportunities, and generates actionable pathways to financial targets.

"This automated analytics system eliminated weeks of manual analysis work. We now have real-time visibility into our profitability drivers and can make data-driven decisions instantly."
— Fintech Leadership Team

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